ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Updated
Jun 6, 2024 - C++
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Native WebRTC use v4l2 h264 hardware/software encoder on Raspberry Pi
HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerators
Innervator: Hardware Acceleration for Neural Networks.
Hardware Accelerated Neural Net to classify ecg signals on edge devices
Level up your video experience with a modern and user-friendly media player.
Brevitas: neural network quantization in PyTorch
NVIDIA Isaac Transport for ROS package for hardware-acceleration friendly movement of messages
Hardware Accelerator for ML
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
Docker build scripts for TornadoVM on GPUs: https://github.com/beehive-lab/TornadoVM
The Task Parallel System Composer (TaPaSCo)
🐆 A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration for *AdderNet*
QMPlay2 is a video and audio player which can play most formats and codecs.
Hardware accelerated OpenCV, Torch & Tensorrt Ubuntu 20.04 docker images for Jetson Nano containing any python version you need up until the latest 3.12
OPTIGA™ Trust M Software Framework
An open source light-weight and high performance inference framework for Hailo devices
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